Schlumberger Technology Corporation

Services Petroliers Schlumberger

Schlumberger Holdings Limited

Prad Research and Development Limited

James P Belaskie

Jonathan Dunlop

Shunfeng Zheng

Walter David Aldred

Yingwei Yu

Sylvain Chambon

Mohammad Khairi Hamzah

Bertrand Du Castel

James Curtis Brannigan

John Christian Luppens

Mbaga Louis Ahorukomeye

Xueyuan Tang

Sai Venkatakrishnan

Walter Alfred

A method includes acquiring data during rig operations where the rig operations include operations that utilize a bit to drill rock and where the data include different types of data; analyzing the data utilizing a probabilistic mixture model for modes, a detection engine for trends and a network model for an inference based at least in part on at least one of a mode and a trend; and outputting information as to the inference where the inference characterizes a relationship between the bit and the rock.

Real-time well construction process inference through probabilistic data fusion

A method for determining a status of a drill string in a wellbore. The method can include obtaining pressure data and hook load data for the drill string. The pressure data can be filtered to obtain pressure sections. A low pressure threshold can be determined based upon the pressure sections. The hook load data can be filtered to obtain hook load sections. Hook load baselines can be determined based upon the hook load sections. Dynamic thresholds can be determined based upon the hook load baselines. An in-slips status of the drill string can be determined based upon the low pressure threshold, the dynamic thresholds, or both.

Determining drill string status in a wellbore

A changepoint detector for modeling data received from at least one sensor in a process in the hydrocarbon industry. The data is segmented into a plurality of segments and for each segment a model is assigned and the data corresponding to the segment fit to that model. A plurality of segmentations are thus provided and these segmentations ar evaluated and assigned weights indicative of the fit of the models of the segmentation t the underlying data. The segmentation models are further used to calculate a result that may be input to a process control program.

System and method for online automation

A method for aggregating data for a drilling operation. The method includes acquiring the data from a number of data sources associated with the drilling operation, synchronizing a timing of the data for aggregating the data to generate synchronized aggregated data, determining a drilling context based on the synchronized aggregated data, and assigning the determined drilling context to the synchronized aggregated data. The method further includes analyzing the synchronized aggregated data in the drilling context to generate an analysis and presenting the analysis to at least one user.

Data aggregation for drilling operations

Growing community of inventors

Beijing, China

James P Belaskie